At a Glance
- Tasks: Lead the design and operation of data ingestion pipelines and build a robust data lake.
- Company: Join Preply, a forward-thinking company revolutionising data analytics and machine learning.
- Benefits: Enjoy a competitive salary, equity options, and health insurance.
- Other info: Be part of a dynamic environment with opportunities for professional growth.
- Why this job: Make a significant impact by driving the technical vision for data solutions.
- Qualifications: Experience in data engineering and a passion for collaboration across teams.
The predicted salary is between 60000 - 80000 € per year.
Preply is looking for a Senior II Data Engineer in London to own and drive the technical vision for the data layer powering analytics and machine learning. This role involves designing and operating ingestion pipelines, building a data lake, and ensuring data quality for both analytics and product uses. The successful candidate will collaborate closely with various teams to enable robust and reusable data solutions across the organization.
A competitive package with equity and health insurance is offered.
Senior Data Engineer: Ingestion & Lakehouse Lead employer: Preply
At Preply, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Data Engineer in London, you will not only have the opportunity to shape the future of our data infrastructure but also benefit from a competitive compensation package, including equity and health insurance, alongside ample opportunities for professional growth and collaboration with diverse teams.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Ingestion & Lakehouse Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to ingestion pipelines and data lakes. This will help us see your hands-on experience and technical vision.
✨Tip Number 3
Prepare for the interview by brushing up on key concepts in data quality and analytics. We love candidates who can discuss their thought process and problem-solving strategies in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals to join our team.
We think you need these skills to ace Senior Data Engineer: Ingestion & Lakehouse Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with ingestion pipelines and data lakes, as these are key to what we’re looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our technical vision. Be specific about your past projects and how they relate to the role.
Showcase Your Collaboration Skills:Since this role involves working closely with various teams, mention any collaborative projects you've been part of. We want to see how you’ve enabled robust data solutions in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Preply
✨Know Your Data Inside Out
Make sure you’re well-versed in data ingestion techniques and lakehouse architecture. Brush up on your knowledge of data quality frameworks and be ready to discuss how you've implemented these in past projects.
✨Showcase Collaboration Skills
Since this role involves working closely with various teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked cross-functionally to deliver robust data solutions.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to explain your approach to designing ingestion pipelines and maintaining data integrity. Practise articulating your thought process clearly.
✨Ask Insightful Questions
Demonstrate your interest in the role by preparing thoughtful questions about Preply’s data strategy and future projects. This shows you’re not just interested in the job, but also in how you can contribute to their vision.
